Yuyuan Huang, Yanru Chen, Shunhong Zhang, Zhenyu Zhang, Ping Cui
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引用次数: 0
Abstract
Recent studies have shown that single- or few-atom catalysts, with local states near the Fermi level, can promote nitrogen activation and the entire electrocatalytic nitrogen reduction reaction (eNRR) process, but are facing limitations in loading densities and stability. Here, we conceptualize that the Kagome metals featuring naturally abundant surface sites and flat bands are promising candidates to catalyze eNRR. Using first-principles calculations, we first show that the Kagome termination of the prototypical FeSn is accompanied by the presence of flat bands from the Fe-dz² and dxz/dyz orbitals, and the exposed surface can strongly chemisorb N2 with an adsorption energy of ~−0.7 eV. The limiting potential of 0.31 V indicates superior eNRR catalytic activity. The mutual independence between neighboring reactive sites also ensures an exceptionally high 25% atomic utilization within the Kagome layer, with each active site possessing high selectivity of eNRR. Our detailed analysis further reveals the critical role of the flat bands in boosting catalytic activity, which is also generalized to the isostructural CoSn and FeGe Kagome systems. Collectively, this work not only enhances the functionalities of Kagome materials for applications but also integrates flat band physics with single-atom catalysis, offering new opportunities in catalyst design.
期刊介绍:
npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings.
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